Top Senior Level Data Science Jobs in Minneapolis, MN

The Senior Data Scientist at Cohere Health is responsible for conducting data analysis to support product and leadership decisions, exploring healthcare and product usage data, and developing models to evaluate the impact of health outcomes. They will collaborate with teams to develop project requirements, present data-driven insights, and propose strategies to enhance healthcare services.

As a Staff Data Scientist at Upstart, you will identify and analyze issues with predictive models and their business impacts, present findings to stakeholders, conduct ad hoc analyses, and collaborate with the Machine Learning team to develop and evaluate models. You will also produce clear, well-documented code and play a key role in model performance evaluation.

The Senior Data Scientist, Data Products role involves leveraging data to enhance product creation and strategy through collaboration, automated systems, quality metrics, and ad-hoc analysis. Responsibilities include creating insights and applying the latest technology trends while leading projects independently.

The Data Science Manager at Garner will develop care navigation algorithms and analytics, while leading a team of 4-6 data scientists and analysts. Responsibilities include managing projects within the Data Science Guild and contributing to the healthcare mission by driving data-driven insights.

As a Senior Data Scientist at Pie, you will develop best-in-class AI/ML solutions for commercial insurance, focusing on pricing, underwriting, and claims models. Collaborating with multiple teams, you'll enhance data-driven decision-making, conduct model diagnostics, and support deployment and automation of scalable ML pipelines that meet real business challenges.

As a Senior Revenue Operations Analyst, you will oversee sales process planning and optimization, ensuring data accuracy in Salesforce and improving revenue operations. Key responsibilities include opportunity management, data analysis, and reporting, collaborating with sales and IT teams to enhance processes and outcomes.

The Director of Data Science & Analytics will lead a team to drive strategic insights through data analytics in the Amazon marketplace. Responsibilities include leveraging technology for innovative solutions, optimizing reporting tools, conducting market research, fostering a data-driven culture, and ensuring compliance and data integrity. This role involves collaboration across multiple teams to identify new opportunities and improve business strategies.